D. M. Zajac

2.0k citations
12 papers · 1.2k indexed · 2 hit papers · h-index 9
Topics
Quantum and electron transport phenomena (10 papers)Advancements in Semiconductor Devices and Circuit Design (6 papers)Quantum Computing Algorithms and Architecture (5 papers)

In The Last Decade

D. M. Zajac

10 papers receiving 1.2k citations

Hit Papers

Resonantly driven CNOT gate for electron spins201720262020202320172018100200300

Peers

D. M. Zajac
Comparison fields: 5 of 26
  • Atomic and Molecular Physics, and Optics 1.1k
  • Artificial Intelligence 658
  • Electrical and Electronic Engineering 554
  • Materials Chemistry 83
  • Condensed Matter Physics 60
Replace M. Fernando González-Zalba with:
M. Fernando González-Zalba United Kingdom
André Saraiva Australia
Xiao Mi United States
Tetsuo Kodera Japan
Jun Yoneda Japan
Erika Kawakami Japan
Matthieu R. Delbecq France
Fahd A. Mohiyaddin Belgium
Giles Allison Japan
Lars R. Schreiber Germany
D. M. Zajac relative to M. Fernando González-Zalba United Kingdom M. Fernando González-Zalba's profile →
Citations per field
00.5×1.5×2.5×
M. Fernando González-Zalba · 1×
Citations per year

Countries citing papers authored by D. M. Zajac

Since Specialization
Citations

This map shows the geographic impact of D. M. Zajac's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by D. M. Zajac with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. M. Zajac more than expected).

Fields of papers citing papers by D. M. Zajac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. M. Zajac. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by D. M. Zajac. The network helps show where D. M. Zajac may publish in the future.

Co-authorship network of co-authors of D. M. Zajac

This figure shows the co-authorship network connecting the top 25 collaborators of D. M. Zajac. A scholar is included among the top collaborators of D. M. Zajac based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D. M. Zajac. D. M. Zajac is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 1
2 9
3 93
4
Spectators Errors in Multiqubit Tunable Coupling Architectures
0
5 178
6 46
7
A coherent spin–photon interface in siliconbreakdown →
275
8 77
9
Resonantly driven CNOT gate for electron spinsbreakdown →
337
10 1
11 184
12 44

About D. M. Zajac

D. M. Zajac is a scholar working on Atomic and Molecular Physics, and Optics, Human-Computer Interaction and Artificial Intelligence, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (10 papers), Advancements in Semiconductor Devices and Circuit Design (6 papers) and Quantum Computing Algorithms and Architecture (5 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.1k citations), Artificial Intelligence (658 citations) and Electrical and Electronic Engineering (554 citations). D. M. Zajac has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include J. R. Petta, Guido Burkard, Jacob M. Taylor, Thomas Hazard, Xiao Mi, Felix Borjans, Maximilian Russ, A. J. Sigillito, Mónica Benito and Stefan Putz. Their work appears in journals such as Nature, Science and Physical Review Letters.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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